V. M. Sruthi, B. Thanudas, S. Sreelal, Abhishek Chakraborty, B. S. Manoj
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引用次数: 3
Abstract
Traditional malware detection techniques, such as signature-based detection and traditional antivirus software, are not beneficial for detecting many recent malware threats. In this paper, we propose a novel malware detection technique, API call transition matrix-based malware detection (ACTM), that efficiently detects malware based on their runtime behavior. We find that the ACTM technique performs better and detects malware with approximately 95.23% accuracy. ACTM can find applications in designing real-time malware detection when an enterprise network security system is concerned.